A real-time 3D scanning system for pavement distortion inspection

Pavement distortions, such as rutting and shoving, are the common pavement distress problems that need to be inspected and repaired in a timely manner to ensure ride quality and traffic safety. This paper introduces a real-time, low-cost inspection system devoted to detecting these distress features using high-speed 3D transverse scanning techniques. The detection principle is the dynamic generation and characterization of the 3D pavement profile based on structured light triangulation. To improve the accuracy of the system, a multi-view coplanar scheme is employed in the calibration procedure so that more feature points can be used and distributed across the field of view of the camera. A sub-pixel line extraction method is applied for the laser stripe location, which includes filtering, edge detection and spline interpolation. The pavement transverse profile is then generated from the laser stripe curve and approximated by line segments. The second-order derivatives of the segment endpoints are used to identify the feature points of possible distortions. The system can output the real-time measurements and 3D visualization of rutting and shoving distress in a scanned pavement.

[1]  S A Guralnick,et al.  ADVANCED TESTING OF AN AUTOMATED NDE SYSTEM FOR HIGHWAY PAVEMENT SURFACE CONDITION ASSESSMENT , 1995 .

[2]  G G Clemena,et al.  AN ASSESSMENT OF THE FEASIBILITY OF DEVELOPING AND IMPLEMENTING AN AUTOMATED PAVEMENT DISTRESS SURVEY SYSTEM INCORPORATING DIGITAL IMAGE PROCESSING , 1997 .

[3]  Makoto Nagao,et al.  Automatic Pavement-Distress-Survey System , 1990 .

[4]  Kelvin C. P. Wang Designs and Implementations of Automated Systems for Pavement Surface Distress Survey , 2000 .

[5]  M.A.G. Izquierdo,et al.  Sub-pixel measurement of 3D surfaces by laser scanning , 1999 .

[6]  Masanobu Shinozuka,et al.  GIS-based automated management of highway surface crack inspection system , 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[7]  Wei Yang,et al.  Robust and Accurate Surface Measurement Using Structured Light , 2008, IEEE Transactions on Instrumentation and Measurement.

[8]  Heng-Da Cheng,et al.  Automatic Pavement Distress Setection System , 1998, Inf. Sci..

[9]  Masanobu Shinozuka,et al.  Automated management for pavement inspection system (AMPIS) , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[10]  John Laurent,et al.  Road surface inspection using laser scanners adapted for the high precision 3D measurements of large flat surfaces , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[11]  Hubert Konik,et al.  Multiresolution texture analysis applied to road surface inspection , 1999, Electronic Imaging.

[12]  Christian Smith,et al.  Automating Inspection of Highway Pavement Surfaces , 1993 .

[13]  S. A. Dyer,et al.  Cubic-spline interpolation: part 2 , 2001 .

[14]  Bugao Xu,et al.  Automatic inspection of pavement cracking distress , 2006, J. Electronic Imaging.

[15]  Max Monti,et al.  Large-area laser scanner with holographic detector optics for real-time recognition of cracks in road surfaces , 1995 .

[16]  Heng-Da Cheng Automated real-time pavement distress detection using fuzzy logic and neural network , 1996, Smart Structures.

[17]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[18]  Kelvin C. P. Wang,et al.  Experimentation of 3D Pavement Imaging through Stereovision , 2007 .

[19]  Maher Hamdi,et al.  Three-dimensional infrared laser vision system for road surface features analysis , 2001, ROMOPTO International Conference on Micro- to Nano- Photonics.

[20]  Jian Zhou,et al.  Wavelet-based pavement distress detection and evaluation , 2003 .

[21]  F. Blais,et al.  Automated pavement distress data collection and analysis: a 3-D approach , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).